Modern autonomous systems are challenged by complex timecritical
tasks. In order to perform reactive and pro-active activities, these
systems have to employ a robust and efficient memory component, particularly
a high-level memory structure. This structure represents a world modeling,
containing all known information about the surrounding environment.
The world modeling includes dynamic models, describing the current
state
of the environment and its past states, and prior knowledge, containing
predefined
expert knowledge about possible classes, entities and relations in
the
surrounding world. Moreover, such high-level memory structure has
to deal
with multi-modal information flow, gathering and fusing incoming sensor
information
into existing description, analyze the models in order to determine
its quality, the missing information, and possible conclusions, and
provide all
information to other sub-systems of the autonomous system.